Researchers
Milošević, Nemanja
Type
Date issued
Results 1-20 of 22
| Issue Date | Title | Author(s) | Type | Мp-cat. |
|---|---|---|---|---|
| 2025 | Prediction of progesterone receptor binding potency, agonism and antagonism using machine learning models | Milošević Nemanja   ; Sukur Nataša ; Fa Svetlana ; Stanić Bojana ; Andrić Nebojša | Article | 21M21 |
| 2025 | Extensions and Detailed Analysis of Synergy Between Traditional Classification and Classification Based on Negative Features in Deep Convolutional Neural Networks | Racković Miloš ; Vidaković Jovana ; Milošević Nemanja | Article | 21M21 |
| 2024 | Exploring the effects of habitat management on grassland biodiversity: A case study from northern Serbia | Milić Polić, Dubravka ; Rat, Milica ; Bokić, Bojana ; Mudri Stojnić, Sonja ; Milošević, Nemanja ; Sukur, Nataša ; Jakovetić, Dušan ; Jenačković Gocić, Dragana ; Tot, Tamara ; Vujanović, Dušanka ;
Anačkov, Goran
; Radišić, Dimitrije ; | Article | 21M21 |
| 2024 | Enhancing Emotion Recognition through Federated Learning: A Multimodal Approach with Convolutional Neural Networks | Simić, Nikola ; Suzić, Siniša ; Milošević, Nemanja ; Stanojev, Vuk ; Nosek, Tijana ; Popović, Branislav ; Bajović, Dragana | Article | 21M21 |
| 2024 | Differential eigengene network analysis reveals benzo[a]pyrene and 2,3,7,8-tetrachlorodibenzo-p-dioxin consensus regulatory network in human liver cell line HepG2 | Stanic Bojana ; Sukur Nataša ; Milošević Nemanja ; Markovic Filipovic Jelena ; Pogrmić-Majkić Kristina ; Andric Nebojsa | Article | 21aM21a |
| 2024 | Toxicology Transformed: Harnessing Artificial Intelligence for Advanced Research | Stanić Bojana ; Milošević Nemanja ; Sukur Nataša ; Andrić Nebojša | Conference Paper | Mp. category will be shown later |
| 2023 | IN SILICO TOXICOGENOMIC APPROACH IN CONSTRUCTING THE AFLATOXIN B1-MEDIATED REGULATORY NETWORK OF HUB GENES IN HEPATOCELLULAR CARCINOMA | Stanic Bojana ; Milosevic Nemanja ; Sukur Nataša ; Skrbic Srdjan ; Samardzija Nenadov Dragana ; Fa Svetlana ; Andric Nebojsa | Conference Paper | Mp. category will be shown later |
| 2023 | An in silico toxicogenomic approach in constructing the aflatoxin B1-mediated regulatory network of hub genes in hepatocellular carcinoma | Stanic Bojana ; Milošević Nemanja ; Sukur Nataša ; Samardzija Nenadov Dragana ; Fa Nedeljkovic Svetlana ; Škrbić Srđan ; Andrić Nebojša | Article | 21M21 |
| 2023 | Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise | Jakovetić, Dušan ; Bajović, Dragana ; Sahu, Anit Kumar; Kar, Soummya; Milošević, Nemanja ; Stamenković, Dušan | Article | 21a+M21a+ |
| 2023 | Predicting chemicals' toxicity pathway of female reproductive disorders using AOP7 and deep neural networks | Sukur Nataša ; Milošević Nemanja ; Pogrmić-Majkić Kristina ; Stanić Bojana ; Andrić Nebojša | Article | 21aM21a |
| 2023 | Automated program improvement with reinforcement learning and graph neural networks | Sukur Nataša ; Milošević Nemanja ; Pracner Doni ; Budimac Zoran | Article | 21M21 |
| 2022 | Dynamic Split Computing for Efficient Deep Edge Intelligence | Bakhtiarnia Arian; Milosevic Nemanja ; Zhang Qi; Bajovic Dragana; Iosifidis Alexandros | Conference Paper | Mp. category will be shown later |
| 2022 | BACS: A comprehensive tool for deep learning-based anomaly detection in edge-fog-cloud systems | Milošević Nemanja ; Jakovetić Dušan ; Škrbić Srđan; Savić Miloš ; Stamenkovic D.; Mascolo J.; Masera D. | Conference Paper | Mp. category will be shown later |
| 2022 | Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned | Bravos George; Cabrera Antonio J.; Correa Camilo; Danilović Dragan; Evangeliou Nikolaos; Ezov Gilad; Gajica Zoran; Jakovetić Dušan ; Kallipolitis Leonidas; Lukić Milan ;
Mascolo Julien; Masera Davide; Mazo Raúl; Mezei Ivan
; Miaoudakis Andreas; Milošević Nemanja ; Oliff William; Robin Jacques; Smyrlis Michail; Sakellari Georgia; Stamatis Giorgos; Stamenković Dušan; Škrbić Srđan; Souveyet Carine; Vantolas Spyridon; Vasiliadis Giorgos; Vukobratovic Dejan ; | Article | 21M21 |
| 2021 | Negative Deep Learning | Milošević, Nemanja | Doctoral theses | 70M70 |
| 2021 | Synergy between traditional classification and classification based on negative features in deep convolutional neural networks | Milošević, Nemanja ; Racković, Miloš | Article | 21M21 |
| 2019 | Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications | Ioannis Arapakis; Yolanda Becerra; Omer Boehm; George Bravos; Vassilis Chatzigiannakis; Cesare Cugnasco; Giorgos Demetriou; Iliada Eleftheriou; Julien Etienne Mascolo; Fodor, Lidija R. ;
Sotiris Ioannidis; Dusan Jakovetic
; Leonidas Kallipolitis; Evangelia Kavakli; Despina Kopanaki; Nicolas Kourtellis; Mario Maawad Marcos; Ramon Martin de Pozuelo; Milošević, Nemanja B. ; Giuditta Morandi; Enric Pages Montanera; Gerald Ristow; Rizos Sakellariou; Raul Sirvent; Srdjan Skrbic; Ilias Spais; Giorgos Vasiliadis; Michael Vinov; | Conference Paper | Mp. category will be shown later |
| 2019 | Classification Based on Missing Features in Deep Convolutional Neural Networks | Milošević, Nemanja ; Racković, Miloš | Article | 23M23 |
| 2017 | From traditional to containerized system architecture | Milošević, Nemanja B. ; Boberić-Krstićev, Danijela N. ; Racković, Miloš D. | Conference Paper | Mp. category will be shown later |
| 2016 | First Results of WCET Estimation in SSQSA Framework | Sukur, Nataša ; Milošević, Nemanja B. ; Pešić, Saša ; Jozef Kolek; Rakić, Gordana ; Budimac, Zoran | Conference Paper | Mp. category will be shown later |